Results 11 to 20 of about 196,128 (281)
Traffic Road Sign Detection and Classification
Majlesi Journal of Electrical EngineeringTraffic road sign detection is important to a robotic vehicle that automatically drives on roads. As the colors of most traffic road signs are blue and red, in this paper, we use Hue- Saturation- Intensity (HSI) color space for color based segmentation ...
Mehdi Fartaj, Sedigheh Ghofrani
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Energies, 2022 Sustainable public transport is an important factor to boost urban economic development, and it is also an important part of building a low-carbon environmental society.
Jingjing Liu +5 more
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Color Standardization of Traffic Sign Images Based on Multi-Color Space Cascade Classification [PDF]
Jisuanji gongcheng, 2020 Based on a constructed traffic sign color matrix,the analysis of color standardization mappings is carried out,and the mapping target color set of traffic sign color standardization is determined.Then the statistical data of RGB componentsin triangle ...
LIU Yang, HUANG Darong, LIU Yang, ZHONG Wei
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Enhanced Traffic Sign Recognition with Ensemble Learning
Journal of Sensor and Actuator Networks, 2023 With the growing trend in autonomous vehicles, accurate recognition of traffic signs has become crucial. This research focuses on the use of convolutional neural networks for traffic sign classification, specifically utilizing pre-trained models of ...
Xin Roy Lim +3 more
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Traffic Sign Classification Using ASIC
International Journal for Research in Applied Science and Engineering Technology, 2023 Abstract: The main aim of this project is to focus on traffic signs classification using Tensor flow and deploying the model onto an ASIC for engineering applications. The classification is done using Convolutional Neural Networks (CNNs) in TensorFlow, where the model is trained using a large dataset of traffic sign images.
G. Krishna Kishore +4 more
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Traffic Sign Detection and Recognition Using Novel Center-Point Estimation and Local Features
IEEE Access, 2020 Traffic sign detection is one of the critical technologies in the field of intelligent transportation systems (ITS). The difficulty of traffic sign detection mainly lies in detecting small objects in a wide and complex traffic scene quickly and ...
Lijing Wei +3 more
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Learning Region-Based Attention Network for Traffic Sign Recognition
Sensors, 2021 Traffic sign recognition in poor environments has always been a challenge in self-driving. Although a few works have achieved good results in the field of traffic sign recognition, there is currently a lack of traffic sign benchmarks containing many ...
Ke Zhou, Yufei Zhan, Dongmei Fu
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Recent Advances in Traffic Sign Recognition: Approaches and Datasets
Sensors, 2023 Autonomous vehicles have become a topic of interest in recent times due to the rapid advancement of automobile and computer vision technology. The ability of autonomous vehicles to drive safely and efficiently relies heavily on their ability to ...
Xin Roy Lim +5 more
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Applied Sciences, 2023 Artificial Intelligence (AI) in the automotive industry allows car manufacturers to produce intelligent and autonomous vehicles through the integration of AI-powered Advanced Driver Assistance Systems (ADAS) and/or Automated Driving Systems (ADS) such as
Nesrine Triki +2 more
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International Journal for Research in Applied Science and Engineering Technology, 2021 Abstract: The traffic signs engraved on the streets nowadays improve traffic security by advising the driver regarding speed limits or any further potential perils like profound thrilling streets, inescapable fix street works or any common intersections.
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